Why Snowflake Was My Next Strategic Move After Google - Blog

I’m on a journey to help make machine learning (ML) and artificial intelligence (AI) more accessible to everyone. I became fascinated by AI more than 20 years ago when I implemented strategies for playing games such as Hex and Qubic (3D tic-tac-toe) in some of my undergraduate computer science courses. I dabbled in AI planning during my first year of grad school, and later focused on ML after seeing ML in practice during my internship at Google in 2003. I then joined Google in 2004 and spent the next 17 years developing ML technologies that reached all of Alphabet and the rest of the world through open source software and cloud offerings. At Google, I had the opportunity to work with many of the world’s best technologists spanning ML and large-scale systems. I researched and implemented new ML algorithms with Yoram Singer, a world famous ML researcher. I developed an appreciation for Explainable AI and the challenges of incorporating domain knowledge into ML while working on ranking in

I’m on a journey to help make machine learning (ML) and artificial intelligence (AI) more accessible to everyone. I became fascinated by AI more than 20 years ago when I implemented strategies for playing games such as Hex and Qubic (3D tic-tac-toe) in some of my undergraduate computer science courses. I dabbled in AI planning during my first year of grad school, and later focused on ML after seeing ML in practice during my internship at Google in 2003. I then joined Google in 2004 and spent the next 17 years developing ML technologies that reached all of Alphabet and the rest of the world thr